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| Presentation | 2020-12-18 10:15 Corner point detection with reliability metric for homography warping of planer objects Hiroya Fujiura, Toshikazu Wada (Wakayama Univ)  PRMU2020-54 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When classifying flat and rectangle objects, such as product packages on shelves, from a slanted image taken at an angle, the accuracy can be degenerated compared with the image taken from right in front of the object. For solving this problem, homographic distortion of the image should be removed by estimating the corner points of the object. This estimation can be achieved by a DNN which performs regression from a image to corner points. But, if the regression is incorrect, the classification can be incorrect. For avoiding the damage caused by incorrect corner point detection, we try to define the reliability metric of the corner points. This metric can be defined by combining regression network that estimates the coordinates of the four corner points and other network that regresses the heatmap of the four corner points. Through the experiments, we evaluate the effectiveness of the reliability. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Neural Network / Homography / corner regression / confidence calculation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 300, PRMU2020-54, pp. 93-98, Dec. 2020. | |
| Paper # | PRMU2020-54 | |
| Date of Issue | 2020-12-10 (PRMU) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2020-54 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2020-12-17 - 2020-12-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Transfer learning and few shot learning |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2020-12-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Corner point detection with reliability metric for homography warping of planer objects |
| Sub Title (in English) | |
| Keyword(1) | Deep Neural Network |
| Keyword(2) | Homography |
| Keyword(3) | corner regression |
| Keyword(4) | confidence calculation |
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| 1st Author's Name | Hiroya Fujiura |
| 1st Author's Affiliation | Wakayama University (Wakayama Univ) |
| 2nd Author's Name | Toshikazu Wada |
| 2nd Author's Affiliation | Wakayama University (Wakayama Univ) |
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| Speaker | Author-1 |
| Date Time | 2020-12-18 10:15:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2020-54 |
| Volume (vol) | vol.120 |
| Number (no) | no.300 |
| Page | pp.93-98 |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (PRMU) |
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